22 May 2015 Maximum discrimination approach for classification of nearly identical signatures
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Abstract
A method of classifying signatures that are very nearly identical is described. In this instance, slight template errors can result in poor classification performance even in a high signal-to-noise ratio environment. To ameliorate the uncertainty in the signature templates a new approach is proposed. It involves processing only the maximum discrimination frequency bands. A computer simulation using actual chemical signatures illustrates the approach and demonstrates its improved performance over traditional techniques.
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Steven Kay, Darren K. Emge, "Maximum discrimination approach for classification of nearly identical signatures", Proc. SPIE 9455, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVI, 94550F (22 May 2015); doi: 10.1117/12.2177056; https://doi.org/10.1117/12.2177056
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